M.S. in Kinesiology - Sport Administration concentration
The M.S. in Kinesiology with a Sport Administration concentration at Montclair State Un...
M.S. in Applied Mathematics
Montclair, New Jersey
INTAKE: Jan & Sept
Program Overview
The M.S. in Applied Mathematics at Montclair State University is a 30-credit-hour program that can be completed by full-time students in as few as 16 months. It offers flexibility with three culminating options: an internship, a capstone project, or a thesis, allowing students to tailor their experience to their career goals. The program provides foundational abilities in applied mathematics, along with specialized knowledge and skills in specific areas of modern applied mathematics. It caters to a broad audience, including those seeking to enter various industries, pursue doctoral studies, or enhance their competencies as secondary school teachers.
STEM Designated: Yes, the Master of Science in Applied Mathematics at Montclair State University is explicitly STEM-designated. This is a significant benefit for international students, as it qualifies them for a 24-month Optional Practical Training (OPT) extension beyond the initial 12 months, totaling up to 36 months of work authorization in the U.S. after graduation. This designation highlights the program's rigorous quantitative and analytical nature, aligning it with high-demand fields in science, technology, engineering, and mathematics.
Curriculum: The curriculum for the M.S. in Applied Mathematics provides a robust foundation in core applied mathematical techniques and offers opportunities for specialization. Core courses typically include "Scientific and Numerical Computing," "Applied Linear Algebra," "Data-Driven Modeling and Computation," and "Applied Probability and Stochastic Processes." Elective courses allow students to delve into specialized areas such as "Methods of Applied Mathematics," "Applied Differential Equations," "Mathematical Biology," "Nonlinear Dynamics," "Mathematics of Investment & Risk Management," and "Stochastic Calculus for Finance." The program emphasizes modern methods of computing and provides students with theoretical and computational knowledge relevant to contemporary challenges.
Research Focus: The Department of Mathematics at Montclair State University has an active research environment with faculty engaged in a broad range of topics within pure and applied mathematics. For the M.S. in Applied Mathematics, the research focus includes areas such as: Data-Driven Analysis, Financial Mathematics, Fluid Mechanics (Classical and Complex Fluids), Mathematical Biology (including Mathematical Epidemiology), Nonlinear Dynamical Systems, Scientific Computing, Network Theory, Mathematical Modeling in Geophysics, and Optimization. Students in the program have opportunities to perform research in these assorted branches, particularly through the thesis option or by collaborating with faculty on various projects. The department also has a strong emphasis on integrating modern methods of computing into its research efforts.
Industry Engagement: Montclair State University's M.S. in Applied Mathematics program is formulated with the intent to train students for post-MS careers in industry, reflecting strong industry engagement. The program highlights its relevance to many "in-demand" careers that span a wide variety of industries and roles in business, government, and education, where the analytical capacities of applied mathematicians are highly sought after. The program offers an internship as one of its culminating experiences, providing students with direct, practical exposure to real-world problems and opportunities to apply their mathematical skills in a professional setting. This practical orientation and the emphasis on preparing graduates for leadership positions indicate robust connections with employers seeking mathematically skilled professionals.
Global Perspective: The M.S. in Applied Mathematics at Montclair State University inherently incorporates a global perspective, as the principles and applications of mathematics are universal and transcend geographical boundaries. Mathematical modeling, data analysis, and scientific computing are essential tools for solving complex global challenges in fields such as finance, environmental science, public health, and engineering. The program prepares graduates to contribute to solutions for these global issues, understanding that the mathematical problems encountered in industry and research often have international implications. While not explicitly outlined as a separate course component, the diverse applications of applied mathematics naturally lead to an understanding of its global relevance.
Location
Montclair, New Jersey
Score
IELTS 6.5
Tuition Fee
USD 19916
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 70% or above in their bachelor's degree.
English Language Proficiency:
- IELTS: Overall band score of 6.5 or 7.0 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 83 or higher.
- PTE: Overall score of 53 or higher.
- DET (Duolingo English Test): Minimum score of 105.
Montclair State University offers a range of scholarship opportunities specifically designed to support international students in achieving their academic goals while easing the financial burden of studying in the United States.
Presidential Scholarships: The university’s prestigious Presidential Scholarships are awarded to top-performing international students demonstrating exceptional academic records and leadership skills. These scholarships provide substantial financial support and are highly competitive.
Graduate Scholarships and Assistantships: Graduate international students have access to departmental scholarships and graduate assistantships. Assistantships may include tuition waivers and stipends in exchange for research or teaching responsibilities, offering both financial aid and valuable professional experience.
A Master of Science (M.S.) in Applied Mathematics from Montclair State University equips graduates with advanced analytical, computational, and problem-solving skills highly valued across numerous industries. This STEM-designated program, offered through the Department of Mathematics, provides a robust foundation in mathematical theory combined with practical applications, preparing individuals for roles that demand sophisticated quantitative analysis.
Data Scientist: Applying mathematical modeling, statistical analysis, and programming skills to large, complex datasets to extract insights, build predictive models, and inform strategic business decisions in technology, finance, healthcare, and other sectors.
Quantitative Analyst (Quant): Utilizing advanced mathematical and computational techniques to develop and implement financial models, price complex securities, manage risk, and devise trading strategies within investment banks, hedge funds, and other financial institutions.
Operations Research Analyst: Employing mathematical optimization, statistical modeling, and simulation to improve efficiency, reduce costs, and enhance decision-making in complex systems like supply chains, logistics networks, and manufacturing processes.
Applied Research Mathematician: Conducting research and developing mathematical models to solve real-world problems in areas such as engineering, physics, biology, or environmental science within government labs, private research firms, or academic institutions.
Actuary: Assessing and managing financial risks, particularly in the insurance and pension industries. Actuaries use advanced mathematical, statistical, and financial theories to analyze future events and design insurance policies or pension plans.
Scientific Programmer/Analyst: Developing and implementing computational algorithms and software for scientific and engineering applications. This often involves numerical methods, simulations, and working with large-scale scientific data in fields like aerospace, energy, or climate modeling.
Financial Engineer: Designing and developing innovative financial products and solutions using sophisticated mathematical models and computational tools. This can involve derivatives pricing, risk management, and algorithmic trading strategies.
Biostatistician/Mathematical Biologist: Applying mathematical and statistical methods to biological and health-related data. This can involve modeling disease spread (epidemiology), analyzing clinical trial data, or developing computational models for biological processes.
Cybersecurity Analyst (Quantitative Focus): Utilizing mathematical and statistical techniques for anomaly detection, network security analysis, cryptographic development, and risk assessment to protect information systems from cyber threats.
Machine Learning Engineer/Specialist: Developing and deploying machine learning models, often leveraging a strong mathematical understanding of algorithms, optimization, and statistical inference to build intelligent systems for various applications (e.g., computer vision, natural language processing).
